Instructions to use au2a/whisper-base-zh-20230708 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use au2a/whisper-base-zh-20230708 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="au2a/whisper-base-zh-20230708")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("au2a/whisper-base-zh-20230708") model = AutoModelForSpeechSeq2Seq.from_pretrained("au2a/whisper-base-zh-20230708", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b3050ae826e3b819eaa235e2a352ddcaec979908c3fb0cf55a6ca412c1ce9fd
- Size of remote file:
- 290 MB
- SHA256:
- 8208580c8580d81108b0dfc239fb59fe860be9fe2156f61a77eea3a93faefe96
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